How Kaishan USA Uses Jellypod

Kaishan USA operates in a fiercely competitive industrial market where search visibility directly impacts sales. Ranking for high-value keywords like "rotary screw air compressor" requires a massive content footprint but traditional content production in the manufacturing space is slow, expensive, and difficult to scale.

Working with their B2B marketing agency, RIVET, led by founder Lance Baird, Kaishan USA needed a way to produce high volumes of quality, indexable content quickly and affordably.

Lance and the RIVET team adopted an unconventional approach to podcasting–using Jellypod as a content engine that rapidly generates podcasts on air compressor industry topics, then transcribing them and embedding the transcripts into blog posts on the Kaishan USA website.

This process dramatically expanded Kaishan USA's indexable content footprint at a fraction of the cost and time of traditional content creation. Each episode produces a rich, keyword-dense transcript that Google can crawl and index, boosting the site's authority and relevance for critical industry search terms.

The idea originated when discussing Google's NotebookLM during RIVET's annual pitch season. When NotebookLM proved too limiting for Kaishan USA’s production needs, the team researched alternatives and chose Jellypod for its speed, flexibility, and built-in publishing capabilities.

The podcasts, with the additional transcripts and content, have been, in Lance's words, "massively beneficial" for SEO. Kaishan USA has climbed to the top 10 for major industry keywords, with a clear goal to break the top three this year, all tracked and validated through Google Search Console.

Lance sees an even bigger AI podcasting opportunity for Kaishan USA on the horizon.

As models like ChatGPT and Gemini evolve, we anticipate that podcast audio itself, distributed via RSS feeds, Spotify, and Apple Podcasts, will be directly indexed by these models. By producing podcast content now, Kaishan USA is positioning itself to benefit as machines learn to listen to and interpret audio content, making the podcast an increasingly powerful asset for both traditional SEO and emerging generative engine optimization (GEO).